Neurological Encryption via Eye Tracking
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Solution Overview
Problem
Existing biometric authentication methods, such as facial recognition, are vulnerable to subversion through duplication of physical features, leading to a need for a more secure authentication method that is difficult to replicate.
Innovation Solution
The method involves analyzing unique neurological responses to visual stimuli, specifically eye movements, to authenticate user access to access-controlled devices, which can be used in conjunction with existing facial recognition technology without additional hardware, by displaying text or a word cloud and tracking changes in luminosity values to calculate a confidence value for access authorization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional biometric methods (facial recognition, fingerprints) are used for authentication, then user convenience is improved, but security against duplication attacks deteriorates
Solution Approach 1:
The patent replaces static physical feature recognition (mechanical biometric systems like fingerprints and facial structure) with dynamic neurological response measurement. Instead of measuring fixed physical traits that can be copied, the system measures real-time eye movement patterns and reading behaviors that reflect internal neurological processes, making duplication attacks ineffective while maintaining user convenience through software-based implementation.
Solution Approach 2:
The system transitions from measuring static biometric parameters (fixed facial geometry, fingerprint patterns) to measuring dynamic behavioral parameters (eye movement velocity, saccade patterns, reading speed variations). These dynamic parameters change based on cognitive processing and cannot be statically replicated, thereby improving security while preserving ease of use through natural interaction.
2Measurement precision
If infrared-based 3D facial recognition is implemented, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts the essential authentication function from complex hardware-dependent systems by isolating the measurement of dynamic eye movement patterns. Instead of requiring infrared projectors, depth sensors, and complex 3D mapping hardware, the system uses standard cameras to capture eye movement and reading behavior, achieving high-security authentication with minimal additional hardware while maintaining measurement precision through software-based analysis.
Solution Approach 2:
The system introduces text display and eye tracking as intermediary elements between the user and authentication verification. Rather than directly scanning facial geometry with complex sensors, the system mediates authentication through measuring eye movements while reading displayed text, using the interaction process itself as the authentication mechanism and reducing hardware requirements.
3Ease of operation
If image-based facial recognition is used, then ease of operation is improved, but vulnerability to spoofing attacks increases
Solution Approach 1:
The patent transforms static image-based recognition into dynamic process-based authentication by measuring eye movements during text reading. Instead of analyzing a still facial image that can be photocopied, the system captures temporal patterns of eye movement, saccades, and reading behavior that reflect real-time cognitive processing. This dynamic measurement approach maintains simplicity while eliminating spoofing vulnerabilities because recorded eye movement patterns cannot be easily replicated.
Data Source
AI summary
A system and method for providing authenticating user access to an access controlled device such as computers, mobile devices, or tablets. The present disclosures describes a novel method and system for eye tracking performed through the execution of computer software on a nontransitory computer-readable medium to measure neurological impulses through physiological expressions of the user. These measurements are unique to each user and therefore ideal for the use in the field of encryption and decryption. This novel system can potentially make mobile devices significantly more secure. Preferably, the system comprises a user interface and a camera.